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Author

Mélanie Roschewitz

Observed names: Melanie Bernhardt, Melanie Roschewitz, Mélanie Bernhardt, Roschewitz, Melanie, Roschewitz, Mélanie
ORCID: 0000-0002-6739-1638
Observed ORCID: 0000-0002-6739-1638
OpenAlex ID: A5043673097
Active label cleaning for improved dataset quality under resource constraints
2022 · Mélanie Bernhardt, Daniel C. Castro, et al. · Nature Communications · 110
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Risk of Bias in Chest Radiography Deep Learning Foundation Models
2023 · Ben Glocker, Charles Jones, et al. · Radiology Artificial Intelligence · 83
Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms
2022 · Mélanie Bernhardt, Charles Jones, et al. · Nature Medicine · 50
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Automatic correction of performance drift under acquisition shift in medical image classification
2023 · Mélanie Roschewitz, Galvin Khara, et al. · Nature Communications · 40
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Training Variational Networks With Multidomain Simulations: Speed-of-Sound Image Reconstruction
2020 · Melanie Bernhardt, Valery Vishnevskiy, et al. · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · 29
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Automatic Dataset Shift Identification to Support Safe Deployment of Medical Imaging AI
2025 · Mélanie Roschewitz, Raghav Mehta, et al. · Lecture notes in computer science · 13
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Robust image representations with counterfactual contrastive learning
2025 · Mélanie Roschewitz, Fabio De Sousa Ribeiro, et al. · Medical Image Analysis · 13
Counterfactual Contrastive Learning: Robust Representations via Causal Image Synthesis
2024 · Mélanie Roschewitz, Fabio de Sousa Ribeiro, et al. · Lecture notes in computer science · 11
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The Role of Subgroup Separability in Group-Fair Medical Image Classification
2023 · Charles Jones, Mélanie Roschewitz, et al. · Lecture notes in computer science · 10
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Mitigating Attribute Amplification in Counterfactual Image Generation
2024 · Tian Xia, Mélanie Roschewitz, et al. · Lecture notes in computer science · 7
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CF-Seg: Counterfactuals Meet Segmentation
2025 · Raghav Mehta, Fabio De Sousa Ribeiro, et al. · Lecture notes in computer science · 4
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Robust semi-supervised segmentation with timestep ensembling diffusion models
2023 · Rosnati, Margherita, Roschewitz, Melanie, et al. · arXiv (Cornell University) · 4
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Distance Matters For Improving Performance Estimation Under Covariate Shift
2023 · Mélanie Roschewitz, Ben Glocker · IEEE International Conference on Computer Vision Workshops · 3
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Pixel-Level Counterfactual Contrastive Learning for Medical Image Segmentation
2026 · Marceau Lafargue-Hauret, Raghav Mehta, et al. · IEEE International Symposium on Biomedical Imaging (ISBI) · 1
Exploring the Interplay of Label Bias with Subgroup Size and Separability: A Case Study in Mammographic Density Classification
2025 · Emma A. M. Stanley, Raghav Mehta, et al. · Lecture notes in computer science · 1
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Where are we with calibration under dataset shift in image classification?
2025 · Roschewitz, Mélanie, Mehta, Raghav, et al. · arXiv (Cornell University) · 1
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Radio-Opaque Artefacts in Digital Mammography: Automatic Detection and Analysis of Downstream Effects
2025 · Amelia Schueppert, Ben Glocker, et al. · IEEE International Symposium on Biomedical Imaging (ISBI) · 1
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Rethinking Fair Representation Learning for Performance-Sensitive Tasks
2024 · Jones, Charles, Ribeiro, Fabio de Sousa, et al. · arXiv (Cornell University) · 1
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Estimating performance for safe deployment of machine learning models
2026 · Zeju Li, Konstantinos Kamnitsas, et al. · Medical Image Analysis
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Memorisation bias in medical AI
2026 · Knolle, Moritz A., Menten, Martin J., et al. · arXiv (Cornell University)
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Bowel Obstruction Detection and Localization on Abdominal CT with Deep Learning
2026 · Vandenhirtz, Moritz, Agostini, Andrea, et al. · arXiv (Cornell University)
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Counterfactual Stress Testing for Image Classification Models
2026 · Stammel, Moritz, Ribeiro, Fabio De Sousa, et al. · arXiv (Cornell University)
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RadAgent: A tool-using AI agent for stepwise interpretation of chest computed tomography
2026 · Roschewitz, Mélanie, Styppa, Kenneth, et al. · arXiv (Cornell University)
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Pixel-level Counterfactual Contrastive Learning for Medical Image Segmentation
2026 · Lafargue-Hauret, Marceau, Mehta, Raghav, et al. · arXiv (Cornell University)
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Works count: 25
Citation count: 382
H-index: 9
I10-index: 9
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